About this role
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Up for the challenge? Let’s talk!
• Own the product strategy and roadmap for Data Search & AI - what we build, why, and how it ladders up to the company's agentic search bet. • Lead the productisation of semantic search and agentic search over our data: deciding what queries we support, what "good" answers look like, and how AI capabilities are exposed to customers. • Shape the AI stack at a product level - embedding models, retrieval strategies, ranking, reranking, agent design - making the tradeoff calls between relevance, latency, cost, and quality. • Own evaluation: design the eval sets and metrics that determine whether the search is actually good, and use them to drive iteration. • Decide when models are good enough to ship and when they need more work - coverage vs precision tradeoffs, hallucination tolerance, when to fall back to deterministic approaches. • Drive customer discovery on how customers actually want to query our data - what they ask, what frustrates them today, what an AI-native interface should let them do that a traditional API or UI cannot. • Partner closely with the Data Product and Platform squads on what data is being indexed and what new datasets unlock new search capabilities. • Work with stakeholders outside Product - Sales, Customer Success, Engineering leadership - to keep the squad connected to commercial and operational reality.
• Lead the productisation of semantic search and agentic search over our data: deciding what queries we support, what "good" answers look like, and how AI capabilities are exposed to customers. • Shape the AI stack at a product level - embedding models, retrieval strategies, ranking, reranking, agent design - making the tradeoff calls between relevance, latency, cost, and quality. • Own evaluation: design the eval sets and metrics that determine whether the search is actually good, and use them to drive iteration. • Decide when models are good enough to ship and when they need more work - coverage vs precision tradeoffs, hallucination tolerance, when to fall back to deterministic approaches. • Drive customer discovery on how customers actually want to query our data - what they ask, what frustrates them today, what an AI-native interface should let them do that a traditional API or UI cannot. • Partner closely with the Data Product and Platform squads on what data is being indexed and what new datasets unlock new search capabilities. • Work with stakeholders outside Product - Sales, Customer Success, Engineering leadership - to keep the squad connected to commercial and operational reality.
• Gross salary: 4700-5700 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing. • Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app. • Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together. • Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/ .
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Up for the challenge? Let’s talk!
• Own the product strategy and roadmap for Data Search & AI - what we build, why, and how it ladders up to the company's agentic search bet. • Lead the productisation of semantic search and agentic search over our data: deciding what queries we support, what "good" answers look like, and how AI capabilities are exposed to customers. • Shape the AI stack at a product level - embedding models, retrieval strategies, ranking, reranking, agent design - making the tradeoff calls between relevance, latency, cost, and quality. • Own evaluation: design the eval sets and metrics that determine whether the search is actually good, and use them to drive iteration. • Decide when models are good enough to ship and when they need more work - coverage vs precision tradeoffs, hallucination tolerance, when to fall back to deterministic approaches. • Drive customer discovery on how customers actually want to query our data - what they ask, what frustrates them today, what an AI-native interface should let them do that a traditional API or UI cannot. • Partner closely with the Data Product and Platform squads on what data is being indexed and what new datasets unlock new search capabilities. • Work with stakeholders outside Product - Sales, Customer Success, Engineering leadership - to keep the squad connected to commercial and operational reality.
• Lead the productisation of semantic search and agentic search over our data: deciding what queries we support, what "good" answers look like, and how AI capabilities are exposed to customers. • Shape the AI stack at a product level - embedding models, retrieval strategies, ranking, reranking, agent design - making the tradeoff calls between relevance, latency, cost, and quality. • Own evaluation: design the eval sets and metrics that determine whether the search is actually good, and use them to drive iteration. • Decide when models are good enough to ship and when they need more work - coverage vs precision tradeoffs, hallucination tolerance, when to fall back to deterministic approaches. • Drive customer discovery on how customers actually want to query our data - what they ask, what frustrates them today, what an AI-native interface should let them do that a traditional API or UI cannot. • Partner closely with the Data Product and Platform squads on what data is being indexed and what new datasets unlock new search capabilities. • Work with stakeholders outside Product - Sales, Customer Success, Engineering leadership - to keep the squad connected to commercial and operational reality.
• Gross salary: 4700-5700 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies • Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing. • Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app. • Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together. • Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/ .
About Oxylabs, UAB
Oxylabs, UAB is hiring for the technical product manager role. NewJob aggregates active openings directly from Oxylabs, UAB's applicant tracking system, so this listing is current.
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